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What makes a good applied Data scientist?

Series: Department Seminar

Speaker: Dr. Mayur Datar Chief Data Scientist Flipkart, Bengaluru

Date/Time: Aug 11 17:00:00

Location: Microsoft Teams - ONLINE

Faculty Advisor:

In this talk, I will briefly cover the rise of Data Science as an applied field. I will borrow examples from e-commerce to demonstrate how Data Science gets used in real life. I will discuss a few recent trends in data science and how development life cycles are changing. Finally, I will share a few tips on what makes a good applied data scientist. I will make a case for a well rounded computer science education (sound fundamentals of computer systems, algorithm analysis and design) along with some cross disciplinary exposure as essential to succeed in this rapidly evolving area. There will be plenty of room for questions and looking forward to an interactive discussion.

Speaker Bio:
Mayur Datar works as a Chief Data Scientist with Flipkart in Bengaluru. He leads a large team of data scientists and together they are working on building the most advanced e-commerce landscape in India. Prior to joining Flipkart, Mayur worked for Google as a Research Scientist for over 12 years. At Google, Mayur led various projects namely Keyword Suggestion Tool for advertisers, Google Adwords Broad Matching and others. He & his teams were credited with working on projects which had a big impact on Googles bottom-line.
Mayur has a doctorate in computer science from Stanford university and obtained his Bachelor of Technology from I.I.T. Bombay. He was awarded the President of India, Gold Medal for the -most outstanding student- of his graduating batch at I.I.T. Bombay. He has several publications which have been presented in renowned conferences like SIGMOD, VLDB, KDD, FOCS, SODA, WWW. He serves on the review committees for most of these conferences. He is known in the industry for his technical leadership, pragmatic result oriented machine learning & systems design and experience in internet consumer related challenges. His research interests include data-mining, algorithms, databases and computer science theory.
Microsoft teams link:

Host Faculty: Prof. Chiranjib Bhattacharyya